https://github.com/xallindrome-dev/neural-net-machine-learning
Practicing Backpropagation with Gradient Descent to build a Neural Network
https://github.com/xallindrome-dev/neural-net-machine-learning
api backpropagation-learning-algorithm csharp gradient-descent learning machine-learning neural-network perceptron personal rest
Last synced: about 2 months ago
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Practicing Backpropagation with Gradient Descent to build a Neural Network
- Host: GitHub
- URL: https://github.com/xallindrome-dev/neural-net-machine-learning
- Owner: xallindrome-dev
- Created: 2020-12-27T06:06:36.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2020-12-27T06:14:08.000Z (over 4 years ago)
- Last Synced: 2025-01-15T20:30:45.265Z (4 months ago)
- Topics: api, backpropagation-learning-algorithm, csharp, gradient-descent, learning, machine-learning, neural-network, perceptron, personal, rest
- Language: HTML
- Homepage:
- Size: 556 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# neural-net-machine-learning
The Neural network consists of the following:
* Neurons or Nodes
* Inputs
* Outputs
* Backpropagation Algorithm using Gradient Descent
* Weights
* Variables
* Layers
* Layer Types